Hello,
I'm trying to duplicate what's an easy process in RapidMiner.
In RM, we can simply use two operators:
subgroup iteration
attribute value selection (Can use a regex for the attrribute name.)
I can do this in R with a lot of code and manual steps. It would be
really nice to find a more automated way.
My data looks like this
group group_height group_weight height weight
g22 3.2 8.896 3.2 8.896
g22 2.5 6.95 2.5 6.95
g22 3.1 8.618 3.1 8.618
g49 2.4 6.672 2.4 6.672
g49 4.2 11.676 4.2 11.676
g49 2.5 6.95 2.5 6.95
g55 2.6 7.228 2.6 7.228
g55 3.4 9.452 3.4 9.452
g55 3.3 9.174 3.3 9.174
What I want to do is scale the data by each group
So in pseudo-code
for(group in groups){
if(column_name = regex(group_.*)){
data[column_name] = scale(data[group,column_name])
}
}
This way I get "group wise" normalization of my data, but still have the
original values which I will normailze "database wide" for some comparisons.
Can anybody help solve this one?
-N
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